Do you find yourself coming into the office early every month just to create monthly reports? The days spent sighing, "This task again..." while being chased by endless data aggregation and ...

ETHOS.TSAM is a python package which uses different machine learning algorithms for the aggregation of time series. The data aggregation can be performed in two freely combinable dimensions: By ...

Interactions between amyloidogenic proteins drive the progression of neurodegenerative diseases, yet the molecular mechanisms remain unknown. In this work, we describe the crosstalk between amyloid-β ...

The process of protein aggregation, central to neurodegenerative diseases like Huntington’s, is challenging to study due to its unpredictable nature and relatively rapid kinetics. Understanding its ...

Directed evolution leverages the principles of natural selection to engineer biomolecules with desired properties. Microbead-based approaches within water-in-oil emulsions have proven invaluable for ...

Copyright: © 2026 The Author(s). Published by Elsevier B.V. The presence of cystic fibrosis (CF) in diverse groups is known but its incidence is not established in ...

Multicellularity in animals depends on the ability of cells to recognize and selectively attach to each other, to the exclusion of “non-self” cells. In sponges (Porifera), this is accomplished by a ...

As a data scientist, I often find myself faced with large datasets that can be overwhelming at first glance. This is where aggregation and group operations come into play. These techniques allow me to ...

Department of Chemistry, Molecular Sciences Research Hub, Imperial College London, London W12 0BZ, U.K. Department of Chemistry, Molecular Sciences Research Hub, Imperial College London, London W12 ...

Federated Learning is a distributed machine learning framework that aims to train a global shared model while keeping their data locally, and previous researches have empirically proven the ideal ...